---
title: Senior Python Engineer (Cheminformatics / Drug Discovery) at EPAM Systems
description: EPAM is seeking a highly skilled Senior Python Engineer with expertise in Cheminformatics and Computational Chemistry to join our Life Sciences practice. In this role, you will contribute to the devel
---

# Senior Python Engineer (Cheminformatics / Drug Discovery)

**Company:** EPAM Systems  
**Location:** Georgia  
**Posted:** 2026-09-03  
**Apply by:** 2026-10-18

**Tags:** python

[Apply / View original posting](https://www.linkedin.com/jobs/view/4461901874)

## Job description

EPAM is seeking a highly skilled Senior Python Engineer with expertise in Cheminformatics and Computational Chemistry to join our Life Sciences practice. In this role, you will contribute to the development of advanced software solutions supporting drug discovery and pharmaceutical research. You will work at the intersection of chemistry, data science, and machine learning, building scalable computational tools used by scientists and researchers worldwide. This position requires strong technical engineering skills combined with deep domain understanding in chemistry or related scientific disciplines. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Design and develop software solutions for drug discovery and chemical data analysis Build and maintain computational pipelines for processing molecular and experimental data Implement algorithms for virtual screening, QSAR/SAR modeling, and molecular descriptor calculation Work with chemical structure representations (SMILES, molecular graphs, fingerprints) Integrate and analyze data from chemical databases such as ChEMBL and PubChem Apply machine learning techniques to chemical and biological datasets Collaborate with scientists, researchers, and cross-functional engineering teams Ensure code quality, scalability, and reproducibility of computational workflows Requirements Strong Python development experience Proven experience in Cheminformatics, Computational Chemistry, or Drug Discovery Experience working with QSAR/SAR models, virtual screening, or molecular modeling Understanding of chemical structure representation and similarity search Experience working with chemical databases (e.g., ChEMBL, PubChem) Solid knowledge of data analysis and statistical modeling Experience applying Machine Learning techniques in scientific contexts Familiarity with tools such as RDKit or similar cheminformatics libraries Ability to work in an R&D-oriented environment Nice to have Experience with molecular dynamics simulations Knowledge of quantum mechanics modeling Experience with cloud environments (AWS, Azure, or GCP) Experience deploying ML models into production Background in Pharmaceutical or Biotechnology industry We offer We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments. LT-Z1

---

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